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Rysz J, Franczyk B, Rysz-Górzyńska M, Gluba-Brzózka A. Are Alterations in DNA Methylation Related to CKD Development? Int J Mol Sci 2022; 23:7108. [PMID: 35806113 PMCID: PMC9267048 DOI: 10.3390/ijms23137108] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/17/2022] [Accepted: 06/18/2022] [Indexed: 12/29/2022] Open
Abstract
The modifications in genomic DNA methylation are involved in the regulation of normal and pathological cellular processes. The epigenetic regulation stimulates biological plasticity as an adaptive response to variations in environmental factors. The role of epigenetic changes is vital for the development of some diseases, including atherogenesis, cancers, and chronic kidney disease (CKD). The results of studies presented in this review have suggested that altered DNA methylation can modulate the expression of pro-inflammatory and pro-fibrotic genes, as well those essential for kidney development and function, thus stimulating renal disease progression. Abnormally increased homocysteine, hypoxia, and inflammation have been suggested to alter epigenetic regulation of gene expression in CKD. Studies of renal samples have demonstrated the relationship between variations in DNA methylation and fibrosis and variations in estimated glomerular filtration rate (eGFR) in human CKD. The unravelling of the genetic-epigenetic profile would enhance our understanding of processes underlying the development of CKD. The understanding of multifaceted relationship between DNA methylation, genes expression, and disease development and progression could improve the ability to identify individuals at risk of CKD and enable the choice of appropriate disease management.
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Affiliation(s)
- Jacek Rysz
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, 113 Żeromskego Street, 90-549 Lodz, Poland; (J.R.); (B.F.)
| | - Beata Franczyk
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, 113 Żeromskego Street, 90-549 Lodz, Poland; (J.R.); (B.F.)
| | - Magdalena Rysz-Górzyńska
- Department of Otolaryngology, Laryngological Oncology, Audiology and Phoniatrics, Medical Univesity of Lodz, 113 Żeromskego Street, 90-549 Lodz, Poland;
| | - Anna Gluba-Brzózka
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, 113 Żeromskego Street, 90-549 Lodz, Poland; (J.R.); (B.F.)
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2
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Smyth LJ, Kilner J, Nair V, Liu H, Brennan E, Kerr K, Sandholm N, Cole J, Dahlström E, Syreeni A, Salem RM, Nelson RG, Looker HC, Wooster C, Anderson K, McKay GJ, Kee F, Young I, Andrews D, Forsblom C, Hirschhorn JN, Godson C, Groop PH, Maxwell AP, Susztak K, Kretzler M, Florez JC, McKnight AJ. Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study. Clin Epigenetics 2021; 13:99. [PMID: 33933144 PMCID: PMC8088646 DOI: 10.1186/s13148-021-01081-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 04/15/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND A subset of individuals with type 1 diabetes mellitus (T1DM) are predisposed to developing diabetic kidney disease (DKD), the most common cause globally of end-stage kidney disease (ESKD). Emerging evidence suggests epigenetic changes in DNA methylation may have a causal role in both T1DM and DKD. The aim of this exploratory investigation was to assess differences in blood-derived DNA methylation patterns between individuals with T1DM-ESKD and individuals with long-duration T1DM but no evidence of kidney disease upon repeated testing to identify potential blood-based biomarkers. Blood-derived DNA from individuals (107 cases, 253 controls and 14 experimental controls) were bisulphite treated before DNA methylation patterns from both groups were generated and analysed using Illumina's Infinium MethylationEPIC BeadChip arrays (n = 862,927 sites). Differentially methylated CpG sites (dmCpGs) were identified (false discovery rate adjusted p ≤ × 10-8 and fold change ± 2) by comparing methylation levels between ESKD cases and T1DM controls at single site resolution. Gene annotation and functionality was investigated to enrich and rank methylated regions associated with ESKD in T1DM. RESULTS Top-ranked genes within which several dmCpGs were located and supported by functional data with methylation look-ups in other cohorts include: AFF3, ARID5B, CUX1, ELMO1, FKBP5, HDAC4, ITGAL, LY9, PIM1, RUNX3, SEPTIN9 and UPF3A. Top-ranked enrichment pathways included pathways in cancer, TGF-β signalling and Th17 cell differentiation. CONCLUSIONS Epigenetic alterations provide a dynamic link between an individual's genetic background and their environmental exposures. This robust evaluation of DNA methylation in carefully phenotyped individuals has identified biomarkers associated with ESKD, revealing several genes and implicated key pathways associated with ESKD in individuals with T1DM.
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Affiliation(s)
- L J Smyth
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.
| | - J Kilner
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - V Nair
- Internal Medicine, Department of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - H Liu
- Department of Department of Medicine/ Nephrology, Department of Genetics, Institute of Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - E Brennan
- Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin 4, Ireland
| | - K Kerr
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - N Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - J Cole
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA.,Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - E Dahlström
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - A Syreeni
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - R M Salem
- Department of Family Medicine and Public Health, UC San Diego, San Diego, CA, USA
| | - R G Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - H C Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - C Wooster
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - K Anderson
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - G J McKay
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - F Kee
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - I Young
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - D Andrews
- Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin 4, Ireland
| | - C Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - J N Hirschhorn
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA.,Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - C Godson
- Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin 4, Ireland
| | - P H Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - A P Maxwell
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.,Regional Nephrology Unit, Belfast City Hospital, Belfast, Northern Ireland, UK
| | - K Susztak
- Department of Department of Medicine/ Nephrology, Department of Genetics, Institute of Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - M Kretzler
- Internal Medicine, Department of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - J C Florez
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - A J McKnight
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
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Nakato R, Wada Y, Nakaki R, Nagae G, Katou Y, Tsutsumi S, Nakajima N, Fukuhara H, Iguchi A, Kohro T, Kanki Y, Saito Y, Kobayashi M, Izumi-Taguchi A, Osato N, Tatsuno K, Kamio A, Hayashi-Takanaka Y, Wada H, Ohta S, Aikawa M, Nakajima H, Nakamura M, McGee RC, Heppner KW, Kawakatsu T, Genno M, Yanase H, Kume H, Senbonmatsu T, Homma Y, Nishimura S, Mitsuyama T, Aburatani H, Kimura H, Shirahige K. Comprehensive epigenome characterization reveals diverse transcriptional regulation across human vascular endothelial cells. Epigenetics Chromatin 2019; 12:77. [PMID: 31856914 PMCID: PMC6921469 DOI: 10.1186/s13072-019-0319-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 12/03/2019] [Indexed: 01/19/2023] Open
Abstract
Background Endothelial cells (ECs) make up the innermost layer throughout the entire vasculature. Their phenotypes and physiological functions are initially regulated by developmental signals and extracellular stimuli. The underlying molecular mechanisms responsible for the diverse phenotypes of ECs from different organs are not well understood. Results To characterize the transcriptomic and epigenomic landscape in the vascular system, we cataloged gene expression and active histone marks in nine types of human ECs (generating 148 genome-wide datasets) and carried out a comprehensive analysis with chromatin interaction data. We developed a robust procedure for comparative epigenome analysis that circumvents variations at the level of the individual and technical noise derived from sample preparation under various conditions. Through this approach, we identified 3765 EC-specific enhancers, some of which were associated with disease-associated genetic variations. We also identified various candidate marker genes for each EC type. We found that the nine EC types can be divided into two subgroups, corresponding to those with upper-body origins and lower-body origins, based on their epigenomic landscape. Epigenomic variations were highly correlated with gene expression patterns, but also provided unique information. Most of the deferentially expressed genes and enhancers were cooperatively enriched in more than one EC type, suggesting that the distinct combinations of multiple genes play key roles in the diverse phenotypes across EC types. Notably, many homeobox genes were differentially expressed across EC types, and their expression was correlated with the relative position of each organ in the body. This reflects the developmental origins of ECs and their roles in angiogenesis, vasculogenesis and wound healing. Conclusions This comprehensive analysis of epigenome characterization of EC types reveals diverse transcriptional regulation across human vascular systems. These datasets provide a valuable resource for understanding the vascular system and associated diseases.
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Affiliation(s)
- Ryuichiro Nakato
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan.,Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan
| | - Youichiro Wada
- Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan. .,Isotope Science Center, The University of Tokyo, Tokyo, 113-0032, Japan.
| | - Ryo Nakaki
- Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan
| | - Genta Nagae
- Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan.,Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan
| | - Yuki Katou
- Laboratory of Genome Structure and Function, Institute for Quantitative Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan
| | - Shuichi Tsutsumi
- Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan
| | - Natsu Nakajima
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan
| | - Hiroshi Fukuhara
- Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Atsushi Iguchi
- Department of Cardiovascular Surgery, Saitama Medical University International Medical Center, Saitama, 350-1298, Japan
| | - Takahide Kohro
- Department of Clinical Informatics, Jichi Medical University School of Medicine, Shimotsuke, 329-0498, Japan
| | - Yasuharu Kanki
- Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan.,Isotope Science Center, The University of Tokyo, Tokyo, 113-0032, Japan
| | - Yutaka Saito
- Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan.,Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koto-ku, Tokyo, 135-0064, Japan.,Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Mika Kobayashi
- Isotope Science Center, The University of Tokyo, Tokyo, 113-0032, Japan
| | | | - Naoki Osato
- Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan.,Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan
| | - Kenji Tatsuno
- Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan
| | - Asuka Kamio
- Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan
| | - Yoko Hayashi-Takanaka
- Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan.,Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8503, Japan
| | - Hiromi Wada
- Isotope Science Center, The University of Tokyo, Tokyo, 113-0032, Japan.,Brain Attack Center, Ohta Memorial Hospital, Fukuyama, 720-0825, Japan
| | - Shinzo Ohta
- Brain Attack Center, Ohta Memorial Hospital, Fukuyama, 720-0825, Japan
| | - Masanori Aikawa
- The Center for Excellence in Vascular Biology and the Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division and Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Hiroyuki Nakajima
- Department of Cardiovascular Surgery, Saitama Medical University International Medical Center, Saitama, 350-1298, Japan
| | - Masaki Nakamura
- Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | | | | | - Tatsuo Kawakatsu
- Bio-Medical Department, Kurabo Industries Ltd., Neyagawa, Osaka, 572-0823, Japan
| | - Michiru Genno
- Bio-Medical Department, Kurabo Industries Ltd., Neyagawa, Osaka, 572-0823, Japan
| | - Hiroshi Yanase
- Bio-Medical Department, Kurabo Industries Ltd., Neyagawa, Osaka, 572-0823, Japan
| | - Haruki Kume
- Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Takaaki Senbonmatsu
- Department of Cardiology, Saitama Medical University International Medical Center, Saitama, 350-1298, Japan
| | - Yukio Homma
- Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Shigeyuki Nishimura
- Department of Cardiology, Saitama Medical University International Medical Center, Saitama, 350-1298, Japan
| | - Toutai Mitsuyama
- Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan.,Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koto-ku, Tokyo, 135-0064, Japan
| | - Hiroyuki Aburatani
- Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan.,Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan
| | - Hiroshi Kimura
- Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan. .,Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8503, Japan. .,Laboratory of Functional Nuclear Imaging, Institute for Quantitative Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan.
| | - Katsuhiko Shirahige
- Japan Agency for Medical Research and Development (AMED-CREST), AMED, 1-7-1 Otemachi, Chiyoda-ku, Tokyo, 100-0004, Japan. .,Laboratory of Genome Structure and Function, Institute for Quantitative Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan.
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4
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Inflammatory and immune response genes: A genetic analysis of inhibitor development in Iranian hemophilia A patients. Pediatr Hematol Oncol 2019; 36:28-39. [PMID: 30888230 DOI: 10.1080/08880018.2019.1585503] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
A major problem of hemophilia A (HA) treatment is the development of factor VIII (FVIII) inhibitor, which usually occurs shortly after initiating replacement therapy. Several studies showed the correlation between inhibitor development and polymorphisms in inflammatory and immune response genes of HA patients; however, literature data are not available to prove this association in Iranian population. The aim of this study was to investigate a possible association between FVIII inhibitor formation and the polymorphisms of 16 inflammatory and immune response genes in Iranian severe HA patients (FVIII activity < 1%). This case-control study was performed on 55 patients with severe HA inhibitors and 45 samples without inhibitors from Iranian Comprehensive Hemophilia Care center. After extraction of whole genomic DNA from blood samples and design of primers for 16 genes, the genotyping was performed by Tetra primer ARMS PCR, and the validation of single nucleotide polymorphisms was determined by DNA sequencing. The data indicated that there was a significant association between inhibitor development, and F13A1 (TT), DOCK2 (CC& CT), and MAPK9 (TT) genotypes. Moreover, a considerably increased inhibitor risk carrying T, C, and T allele for F13A1, DOCK2, and MAPK9 genes was observed in patients with inhibitors, respectively. In contrast, there was no statistically significant difference between the genotypic and allelic frequencies for other genes in patients with inhibitors compared to patients without inhibitors. These results demonstrate that only polymorphisms in F13A1, DOCK2, and MAPK9 genes are associated with the risk of developing FVIII inhibitors in Iranian HA patients.
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5
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Zhu L, Lv R, Kong L, Cheng H, Lan F, Li X. Genome-Wide Mapping of 5mC and 5hmC Identified Differentially Modified Genomic Regions in Late-Onset Severe Preeclampsia: A Pilot Study. PLoS One 2015. [PMID: 26214307 PMCID: PMC4516306 DOI: 10.1371/journal.pone.0134119] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Preeclampsia (PE) is a leading cause of perinatal morbidity and mortality. However, as a common form of PE, the etiology of late-onset PE is elusive. We analyzed 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) levels in the placentas of late-onset severe PE patients (n = 4) and normal controls (n = 4) using a (hydroxy)methylated DNA immunoprecipitation approach combined with deep sequencing ([h]MeDIP-seq), and the results were verified by (h)MeDIP-qPCR. The most significant differentially methylated regions (DMRs) were verified by MassARRAY EppiTYPER in an enlarged sample size (n = 20). Bioinformatics analysis identified 714 peaks of 5mC that were associated with 403 genes and 119 peaks of 5hmC that were associated with 61 genes, thus showing significant differences between the PE patients and the controls (>2-fold, p<0.05). Further, only one gene, PTPRN2, had both 5mC and 5hmC changes in patients. The ErbB signaling pathway was enriched in those 403 genes that had significantly different5mC level between the groups. This genome-wide mapping of 5mC and 5hmC in late-onset severe PE and normal controls demonstrates that both 5mC and 5hmC play epigenetic roles in the regulation of the disease, but work independently. We reveal the genome-wide mapping of DNA methylation and DNA hydroxymethylation in late-onset PE placentas for the first time, and the identified ErbB signaling pathway and the gene PTPRN2 may be relevant to the epigenetic pathogenesis of late-onset PE.
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Affiliation(s)
- Lisha Zhu
- Obstetrics Department, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China, 200011
| | - Ruitu Lv
- Key Laboratory of Epigenetics of Shanghai Ministry of Education, School of Basic Medicine and Institutes of Biomedical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China
| | - Lingchun Kong
- Key Laboratory of Epigenetics of Shanghai Ministry of Education, School of Basic Medicine and Institutes of Biomedical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China
| | - Haidong Cheng
- Obstetrics Department, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China, 200011
- * E-mail: (XTL); (FL); (HDC)
| | - Fei Lan
- Key Laboratory of Epigenetics of Shanghai Ministry of Education, School of Basic Medicine and Institutes of Biomedical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China
- Key Laboratory of Birth Defect, Children’s Hospital of Fudan University, Shanghai 201102, China
- * E-mail: (XTL); (FL); (HDC)
| | - Xiaotian Li
- Obstetrics Department, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China, 200011
- * E-mail: (XTL); (FL); (HDC)
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6
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Yong Z, Zhu L, Tan J, Zhu S. Correlation analysis between eGFR cys and SXscore in patients with diabetes. Exp Ther Med 2014; 7:860-864. [PMID: 24669241 PMCID: PMC3961135 DOI: 10.3892/etm.2014.1536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Accepted: 10/22/2013] [Indexed: 11/06/2022] Open
Abstract
The aim of the present study was to explore the association between the cystatin C-based estimated glomerular filtration rate (eGFRcys) and the SYNTAX score (SXscore) in patients with diabetes. To the best of our knowledge, this correlation has not been reported previously. The eGFRcys and SXscore from 612 consecutive patients with diabetes were retrospectively included in this study. The patients were angiographically diagnosed with coronary artery disease (CAD) between July 2010 and March 2012 at the Department of Endocrinology. The SXscore was calculated using a previously described SXscore algorithm. Pearson correlations were used to analyze the correlation between eGFRcys and SXscore. Patients with renal dysfunction were older, more often female and more likely to have a history of hypertension when compared with those with normal renal function. The eGFRcys values were significantly lower and the cystatin C levels were significantly higher in the highest SXscore group than those in other groups (P<0.001). Correlation analysis indicated that eGFRcys was negatively correlated with the SXscore (r=−0.7918, P<0.001). In addition, a significantly positive correlation was identified between levels of cystatin C and the SXscore (r=0.8891, P<0.001). In conclusion, eGFRcys is an independent predictor of SXscore in patients with diabetes. The eGFRcys-estimating method may be considered important in the assessment of the SXscore in patients with diabetes.
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Affiliation(s)
- Zhong Yong
- The Third General Surgery of The Third Xiangya Hospital, Central South University, Changsha, Hunan 410006, P.R. China
| | - Liyong Zhu
- The Third General Surgery of The Third Xiangya Hospital, Central South University, Changsha, Hunan 410006, P.R. China
| | - Juan Tan
- The Third General Surgery of The Third Xiangya Hospital, Central South University, Changsha, Hunan 410006, P.R. China
| | - Shaihong Zhu
- The Third General Surgery of The Third Xiangya Hospital, Central South University, Changsha, Hunan 410006, P.R. China
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7
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Smyth LJ, McKay GJ, Maxwell AP, McKnight AJ. DNA hypermethylation and DNA hypomethylation is present at different loci in chronic kidney disease. Epigenetics 2013; 9:366-76. [PMID: 24253112 DOI: 10.4161/epi.27161] [Citation(s) in RCA: 122] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Genetic risk factors for chronic kidney disease (CKD) are being identified through international collaborations. By comparison, epigenetic risk factors for CKD have only recently been considered using population-based approaches. DNA methylation is a major epigenetic modification that is associated with complex diseases, so we investigated methylome-wide loci for association with CKD. A total of 485,577 unique features were evaluated in 255 individuals with CKD (cases) and 152 individuals without evidence of renal disease (controls). Following stringent quality control, raw data were quantile normalized and β values calculated to reflect the methylation status at each site. The difference in methylation status was evaluated between cases and controls with resultant P values adjusted for multiple testing. Genes with significantly increased and decreased levels of DNA methylation were considered for biological relevance by functional enrichment analysis using KEGG pathways in Partek Genomics Suite. Twenty-three genes, where more than one CpG per loci was identified with Padjusted<10(-8), demonstrated significant methylation changes associated with CKD and additional support for these associated loci was sought from published literature. Strong biological candidates for CKD that showed statistically significant differential methylation include CUX1, ELMO1, FKBP5, INHBA-AS1, PTPRN2, and PRKAG2 genes; several genes are differentially methylated in kidney tissue and RNA-seq supports a functional role for differential methylation in ELMO1 and PRKAG2 genes. This study reports the largest, most comprehensive, genome-wide quantitative evaluation of DNA methylation for association with CKD. Evidence confirming methylation sites influence development of CKD would stimulate research to identify epigenetic therapies that might be clinically useful for CKD.
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Affiliation(s)
- Laura J Smyth
- Nephrology Research; Centre for Public Health; Queen's University of Belfast; Belfast Northern Ireland
| | - Gareth J McKay
- Nephrology Research; Centre for Public Health; Queen's University of Belfast; Belfast Northern Ireland
| | - Alexander P Maxwell
- Nephrology Research; Centre for Public Health; Queen's University of Belfast; Belfast Northern Ireland
| | - Amy Jayne McKnight
- Nephrology Research; Centre for Public Health; Queen's University of Belfast; Belfast Northern Ireland
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